Sentential context has been successfully applied in SMT [1]}, [2]}. In these works, sentential context representation which is generated by the CNNs is exploited to guided the target sentence generation. In broad terms, sentential context can be viewed as a sentence abstraction from a specific aspect. From this point of view, domain information [3]}, [4]}, [5]} and topic information [6]}, [7]}, [8]} can also be treated as the sentential context, the exploitation of which we leave for future work.
